Henock-Adane/Maji_Ndogo

A data analysis project for Alx data science program. # Maji Ndogo Water Access Project: Unveiling the Crisis through Data ## Overview This repository contains the data analysis project focused on understanding and addressing the water crisis in Maji Ndogo. The project leverages a comprehensive dataset of water source visits, quality assessments, and employee activities to identify patterns, clean data, and derive actionable insights. The work is structured into multiple phases: 1. **Phase 1: Initial Data Exploration & Quality Assessment (Maji Ndogo Part 1)** - Familiarization with foundational tables and their interconnections. - Initial assessment of data quality and identification of anomalies. - Basic analytical queries to understand existing conditions. 2. **Phase 2: Data Cleaning, Deeper Analysis & Clustering (Maji Ndogo Part 2)** - Extensive data cleaning and transformation to ensure data integrity. - Detailed analysis of employee performance and location-based patterns. - Preparation for clustering techniques to uncover broader narratives and hidden correlations related to water access and quality. 3. **Phase 3: Weaving the Data Threads of Maji Ndogo’s Narrative (Maji Ndogo Part 3)** - Validate the integrity of subjective water quality scores submitted by employees. - Identify potential data manipulation or systemic issues. - Use SQL to trace inconsistencies to specific employees and locations. 4. **Phase 4: From Analysis to Action (Maji Ndogo Part 4)** - Combine survey, water quality, and pollution data into a unified view for planning. - Summarize water source conditions by province and town. - Recommend specific engineering interventions for contaminated or inadequate sources. - Create and populate a `Project_progress` table to track repair initiatives with conditional SQL logic. - Assign improvements based on contamination type, water source condition, and queue time patterns. ## 📌 Objectives The primary objectives of this project are to: - **Understand Data Structure:** Gain a deep understanding …